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BACKGROUND: Complementary medicine and integrative oncology modalities (IOM) have been included in the clinical practice guidelines of the American College of Chest Physicians in the treatments of patients with lung cancer. The present study examined the impact of a patient-tailored IOM treatment program on quality of life (QoL)-related concerns among patients with non-small and small lung cancer undergoing active oncology treatment.
METHODS: This controlled study was pragmatic and prospective assessing the adherence among patients referred by their oncology healthcare provider to an integrative physician consultation, followed by 6 weekly IOM treatments addressing QoL-related concerns. High adherence to integrative care (high-AIC, vs. low-AIC) was defined as attending ≥4 IOM sessions. Symptoms were assessed using the ESAS (Edmonton Symptom Assessment Scale), EORTC QLQ-C30 (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire), and MYCAW (Measure Yourself Concerns and Wellbeing) tools, at baseline and 6 weeks.
RESULTS: Of 153 patients, 74 (48 %) were high-AIC, with baseline demographic, cancer-and QoL-related characteristics similar to those of low-AIC patients. At 6 weeks, high-AIC patients reported greater improvement on MYCAW well-being (p = 0.036), with within-group improvement observed for EORTC pain (p = 0.021) and emotional functioning (p = 0.041); and for ESAS depression (p = 0.005), with borderline significance for EORTC sleep (p = 0.06).
CONCLUSIONS: High adherence to a 6-week IOM program within supportive/palliative care for patients with lung cancer was found to alleviate pain and emotional concerns, improving overall QoL. Further research is needed to confirm the findings in real-life IOM practice for patients with lung cancer.

BACKGROUND: Seasonal variations in systemic immunity have been reported. This study aimed to evaluate whether seasonality affects the efficacy of anticancer immunotherapy.
METHODS: A total of 604 patients with lung cancer receiving single anti-programmed cell death (ligand) 1 (anti-PD-[L]1) inhibitors from two prospective observational cohorts were screened. Primary outcomes were progression-free survival (PFS) and overall survival (OS). Patients were classified into two groups according to the season when the treatment started: winter (November-February) and other seasons (March-October). Kaplan-Meier analysis and Cox proportional hazards models were fitted to evaluate the impact of seasonality on survival. For validation, propensity score matching was performed.
RESULTS: A total of 484 patients with advanced non-small cell lung cancer were included. In an unmatched population, multivariable analysis demonstrated that the winter group (n = 173) had a significantly lower risk of progression or death from immunotherapy than the other group (n = 311) (PFS: hazard ratio [HR], 0.77 [95% confidence interval (CI), 0.62-0.96]; p = .018; OS: HR, 0.77 [95% CI, 0.1-0.98]; p = .032). In a propensity score-matched population, the winter group (n = 162) showed significantly longer median PFS (2.8 months [95% CI, 1.9-4.1 months] vs. 2.0 months [95% CI, 1.4-2.7 months]; p = .009) than the other group (n = 162). The winter group\'s median OS was also significantly longer than that of the other group (13.4 months [95% CI, 10.2-18.0 months] vs. 8.0 months [95% CI, 3.6-8.7 months]; p = .012). The trend toward longer survival in the winter group continued in subgroup analyses.
CONCLUSIONS: Starting an anti-PD-(L)1 inhibitor in winter was associated with better treatment outcomes in patients with lung cancer compared to other seasons.

BACKGROUND: Metastasis formation is a hallmark of cancer lethality. Yet, metastases are generally unobservable during their early stages of dissemination and spread to distant organs. Genomic datasets of matched primary tumors and metastases may offer insights into the underpinnings and the dynamics of metastasis formation.
RESULTS: We present metMHN, a cancer progression model designed to deduce the joint progression of primary tumors and metastases using cross-sectional cancer genomics data. The model elucidates the statistical dependencies among genomic events, the formation of metastasis, and the clinical emergence of both primary tumors and their metastatic counterparts. metMHN enables the chronological reconstruction of mutational sequences and facilitates estimation of the timing of metastatic seeding. In a study of nearly 5000 lung adenocarcinomas, metMHN pinpointed TP53 and EGFR as mediators of metastasis formation. Furthermore, the study revealed that post-seeding adaptation is predominantly influenced by frequent copy number alterations.
METHODS: All datasets and code are available on GitHub at https://github.com/cbg-ethz/metMHN.

BACKGROUND: L-Theanine, a nonproteinogenic amino acid derived from green tea, is being recognized as an anti-cancer candidate. However, it\'s roles in the development of cancer chemoresistance is still unknown and the molecular mechanism is urgently to be explored.
METHODS: The effects of L-Theanine on lung cancer chemoresistance were validated by Cell Counting Kit-8 (CCK-8) assay, transwell assay, and in vitro tumor spheroid formation assay; the expression of proteins was detected by using polymerase chain reaction (PCR) and western blotting. RNA-sequencing (RNA-seq) and bioinformatics analysis were used to identify differentially expressed genes induced by L-Theanine. BMAL1 knockdown and overexpression were constructed by using a lentivirus-mediated transfection system.
RESULTS: L-Theanine improved the chemoresistance to cis-diamminedichloroplatinum (DDP) and inhibited stemness of DDP-resistant lung cancer cells but not non-resistant lung cancer cells. The results from RNA-seq analysis showed that STAT3/NOTCH1 pathway was a potential dominant signaling involved in L-Theanine improving the chemoresistance in DDP-resistant lung cancer. Mechanistically, L-Theanine impeded migration and stemness activation of DDP-resistant lung cancer cells via regulating the expression of STAT3/NOTCH1/BMAL1 signaling-induced stemness markers as well as inhibiting the expression levels of drug resistance-related genes. In addition, a combination of L-Theanine and Stat3 blockade synergistically improved the chemoresistance in DDP-resistant lung cancer.
CONCLUSIONS: L-Theanine improves the chemoresistance by regulating STAT3/NOTCH1/BMAL1 signaling, reducing stemness, and inhibiting the migration of DDP-resistant lung cancer cells. The finding might provide some evidence for therapeutic options in overcoming the chemoresistance in cancers, including lung cancer.

OBJECTIVE: Symptom assessment based on patient-reported outcome (PRO) can correlate with disease severity, making it a potential tool for threshold alerts of postoperative complications. This study aimed to determine whether shortness of breath (SOB) scores on the day of discharge could predict the development of post-discharge complications in patients who underwent lung cancer surgery.
METHODS: Patients were from a study of a dynamic perioperative rehabilitation cohort of lung cancer patients focusing on patient-reported outcomes. Patients were assessed using the Perioperative Symptom Assessment Scale for Lung surgery (PSA-Lung). Logistic regression model was used to examine the potential association between SOB on the day of discharge and complications within 3 months after discharge. The post-discharge complications were taken as the anchor variable to determine the optimal cutpoint for SOB on the day of discharge.
RESULTS: Complications within 3 months post-discharge occurred in 71 (10.84%) of 655 patients. Logistic regression analysis revealed that being female (OR 1.764, 95% CI 1.006-3.092, P < 0.05) and having two chest tubes (OR 2.026, 95% CI 1.107-3.710, P < 0.05) were significantly associated with post-discharge complications. Additionally, the SOB score on the day of discharge (OR 1.125, 95% CI 1.012-1.250, P < 0.05) was a significant predictor. The optimal SOB cutpoint was 5 (on a scale of 0-10). Patients with an SOB score ≥ 5 at discharge experienced a lower quality of life 1 month later compared to those with SOB score<5 at discharge (73 [50-86] vs. 81 [65-91], P < 0.05).
CONCLUSIONS: SOB on the day of discharge may serve as an early warning sign for the timely detection of 3 month post-discharge complications.

BACKGROUND: Lung cancer (LC), characterized by high incidence and mortality rates, presents a significant challenge in oncology. Despite advancements in treatments, early detection remains crucial for improving patient outcomes. The accuracy of screening for LC by detecting volatile organic compounds (VOCs) in exhaled breath remains to be determined.
METHODS: Our systematic review, following PRISMA guidelines and analyzing data from 25 studies up to October 1, 2023, evaluates the effectiveness of different techniques in detecting VOCs. We registered the review protocol with PROSPERO and performed a systematic search in PubMed, EMBASE and Web of Science. Reviewers screened the studies\' titles/abstracts and full texts, and used QUADAS-2 tool for quality assessment. Then performed meta-analysis by adopting a bivariate model for sensitivity and specificity.
RESULTS: This study explores the potential of VOCs in exhaled breath as biomarkers for LC screening, offering a non-invasive alternative to traditional methods. In all studies, exhaled VOCs discriminated LC from controls. The meta-analysis indicates an integrated sensitivity and specificity of 85% and 86%, respectively, with an AUC of 0.93 for VOC detection. We also conducted a systematic analysis of the source of the substance with the highest frequency of occurrence in the tested compounds. Despite the promising results, variability in study quality and methodological challenges highlight the need for further research.
CONCLUSIONS: This review emphasizes the potential of VOC analysis as a cost-effective, non-invasive screening tool for early LC detection, which could significantly improve patient management and survival rates.

BACKGROUND: Risk stratification of regional recurrence (RR) is clinically important in the design of adjuvant treatment and surveillance strategies in patients with clinical stage I non-small cell lung cancer (NSCLC) treated with stereotactic body radiotherapy (SBRT).
OBJECTIVE: To develop a radiomics model predicting occult lymph node metastasis (OLNM) using surgical data and apply it to the prediction of RR in SBRT-treated early-stage NSCLC patients.
METHODS: Patients with clinical stage I NSCLC who underwent curative surgery with systematic lymph node dissection from January 2013 to December 2018 (the training cohort) and from January 2019 to December 2020 (the validation cohort) were included. A pre-operative CT-based radiomics model, a clinical feature model, and a fusion model predicting OLNM were constructed. The performance of the three models was quantified and compared in the training and validation cohorts. Subsequently, the radiomics model was used to predict RR in a cohort of consecutive SBRT-treated early-stage NSCLC patients from two academic medical centers.
RESULTS: A total of 769 patients were included. Eight CT features were identified in the radiomics model, achieving areas under the curves (AUCs) of 0.85 (95% CI 0.81-0.89) and 0.83 (95% CI 0.80-0.88) in the training and validation cohorts, respectively. Nevertheless, adding clinical features did not improve the performance of the radiomics model. With a median follow-up of 40.0 (95% CI 35.2-44.8) months, 32 of the 213 patients in the SBRT cohort developed RR and those in the high-risk group based on the radiomics model had a higher cumulative incidence of RR (p<0.001) and shorter regional recurrence-free survival (p=0.02), progression-free survival (p=0.004) and overall survival (p=0.006) than those in the low-risk group.
CONCLUSIONS: The radiomics model based on pathologically confirmed data effectively identified patients with ONLM, which may be useful in the risk stratification among SBRT-treated patients with clinical stage I NSCLC.

OBJECTIVE: Lung cancer is the leading cause of cancer-related death. The percentage of people who have never smoked with lung cancer has risen recently, but alternative risk factors require further study. Our goal was to determine the impact of air quality on incidence of lung cancer in people who have smoked or never smoked.
METHODS: The Cancer Registry from a large urban medical center was queried to include every new diagnosis of lung cancer from 2013 to 2021. Air quality and pollution data for the county were obtained from the United States Environmental Protection Agency from 1980 to 2018. Patient demographics, location of residence, smoking history and tumor stage were recorded. Bivariate comparison analyses were conducted in R.
RESULTS: A total of 2,223 new cases of lung cancer were identified. Mean age was 69.2 years. There was a nonsmoking rate of 8.1 percent. A total of 37 percent of patients identified as a racial minority. People who have never smoked were more likely to be diagnosed at an advanced stage. When analyzing geographic distribution, incidence of lung cancer among people who have never smoked was more closely associated with highly polluted areas. People who have never smoked with lung cancer had significantly higher exposure levels of multiple pollutants.
CONCLUSIONS: Newly diagnosed lung cancer appears to be more related to poor air quality among people who have never smoked than people who have smoked. Future studies are needed to examine the associations of specific pollutants with lung cancer incidence.

BACKGROUND: Myocarditis is the most lethal cardiovascular immune related adverse events with a low incidence, depending on the studies. We prospectively studied the potential interest of a systematic screening to early detect immune related myocarditis and confirm the incidence of immune-induced myocarditis in advanced lung cancer and the impact of troponin systematic screening in early detection of other major cardiovascular events (MACE).
METHODS: This prospective bicentric study includes adults who received at least one dose of immune checkpoint inhibitor (ICI) for advanced lung cancer. Cardiac biomarkers dosage, ECG and transthoracic echography (TTE) were done at baseline. Diagnosis of myocarditis was based on European Society of Cardiology recommendations. MACEs were reported during the observation period.
RESULTS: Among 298 patients, 5 (1.68 %) immune-induced myocarditis occurred, all being asymptomatic with at first troponin elevation, treated by corticosteroids and ICI\'s discontinuation. No attributable death occurred, and no specific clinical characteristics were identified with myocarditis onset. Three patients were rechallenged with ICI after troponin normalization in the absence of other therapeutic options. Recurrence occurred in 2 patients, with a re-increase of troponin and a de novo modification of the ECG. Systematic cardiovascular screening also led to 14 cardiovascular diseases detection and 11 MACEs during ICI.
CONCLUSIONS: Systematic cardiovascular screening has uncovered slightly more immuno-induced myocarditis cases than reported previously, but without altering treatment strategies due to their subclinical nature. Additionally, it helps detecting other cardiovascular diseases in this comorbid population.